NASA STTR 2014 Solicitation


PROPOSAL NUMBER: 14-2 T12.04-9903
RESEARCH SUBTOPIC TITLE: Experimental and Analytical Technologies for Additive Manufacturing
PROPOSAL TITLE: Physics and Statistics Based Selection of SLM and EBM Process Parameters to Mitigate Defects and to Control Deposit Microstructure

NAME: Applied Optimization, Inc. NAME: University of Tennessee Knoxville
STREET: 714 East Monument Avenue, Suite 204 STREET: 1534 White Avenue, Blount Hall
CITY: Dayton CITY: Knoxville
STATE/ZIP: OH  45402 - 1382 STATE/ZIP: TN  37996 - 1529
PHONE: (937) 431-5100 PHONE: (865) 974-3466

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Anil B Chaudhary
714 E. Monument Ave., Ste. 204
Dayton, OH 45402 - 1382
(937) 431-5100 Extension :1

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Ms. Catherine M Keenan
714 East Monument Avenue, Suite 204
Dayton, OH 45402 - 1382
(937) 431-5100 Extension :2

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 4
End: 5

Technology Available (TAV) Subtopics
Experimental and Analytical Technologies for Additive Manufacturing is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The ability to assign a level of confidence for build quality is fundamental to the deployment of powder bed technology. Accordingly, the research objective of this work is to use probability theory as a glue to combine the physics-based models used for the selection of processing parameters together in order to produce quality deposits using the following approach: (1) Use probability theory as the glue to combine physics-based models for melt-pool thermal-fluid behavior and track cross-section formation in order to determine the deposition parameters; (2) Enhance the physics-based model to predict vaporization and expulsion of the additive material, melt pool buckling, transport of gas bubbles, determination of hatch distance, inter-track and inter-layer wetting; (3) Perform probabilistic assessment for the performance of the deposition parameters for their ability to mitigate defects, attain consistency of size for the fused tracks, flatness of the top layer, and the material microstructure; (4) Use the solidification parameters and thermal cycling during deposition to predict the precipitation reactions; (5) Perform deposition experiments to demonstrate the ability to engineer the deposition parameters. This work would result in reduction of effort for the development of process parameters and part qualification for specialty materials of interest to NASA.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The NASA application is to enable physics-based selection of SLM and EBM process parameters, while taking into account the statistics of substrate roughness, scanning direction and track formation. It is designed to reduce the effort needed to meet certification requirements for NASA parts. This application is needed because the current use of SLM and EBM uses process parameters that are developed on the basis of experimental trial and error; and these parameters are available for only a few alloys. This work is expected to reduce effort for the selection of process parameter for new alloys by up to a factor of two to four.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Physics-based selection of SLM and EBM process parameters to mitigate defects and to control microstructure for materials utilized in the land or sea-based gas-turbine engines, for life-extension of aging systems, etc.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Analytical Methods
Models & Simulations (see also Testing & Evaluation)
Processing Methods
Simulation & Modeling
Smart/Multifunctional Materials

Form Generated on 04-07-15 13:59